Skip to main content

Course 11: Applied Probability (ArsDigita University)


Published 2001
Topics probability



This course focuses on Modeling, quantification, and analysis of uncertainty by
teaching random variables, simple random processes and their
probability distributions, Markov processes, limit theorems, elements
of statistical inference, and decision making under uncertainty. This
course extends the discrete probability learned in the discrete math
class. It focuses on actual applications, and places little emphasis
on proofs. A problem set based on identifying tumors using MRI
(Magnetic Resonance Imaging) is done using Matlab.


Text: Fundamentals of Applied Probability Theory, Al Drake.


Requirements: One exam, three assignments, two problem sets.



Audio/Visual sound, color

Reviews

There are no reviews yet. Be the first one to write a review.
PEOPLE ALSO FOUND
( 8 reviews )